You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@kylin.apache.org by "ASF subversion and git services (JIRA)" <ji...@apache.org> on 2018/07/26 02:49:00 UTC
[jira] [Commented] (KYLIN-3452) Optimize spark cubing memory
footprint
[ https://issues.apache.org/jira/browse/KYLIN-3452?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16556811#comment-16556811 ]
ASF subversion and git services commented on KYLIN-3452:
--------------------------------------------------------
Commit 312eaae7d469ed90984fc32f11d9b772e5f5bb89 in kylin's branch refs/heads/master from shaofengshi
[ https://gitbox.apache.org/repos/asf?p=kylin.git;h=312eaae ]
KYLIN-3452 Optimize spark cubing memory footprint
> Optimize spark cubing memory footprint
> --------------------------------------
>
> Key: KYLIN-3452
> URL: https://issues.apache.org/jira/browse/KYLIN-3452
> Project: Kylin
> Issue Type: Improvement
> Components: Spark Engine
> Reporter: Shaofeng SHI
> Assignee: Shaofeng SHI
> Priority: Major
> Fix For: v2.5.0
>
>
> Noticed that there are some steps can be optimized:
> 1) Cuboid.findForMandatory() will create new object each time, which this can be cached;
> 2) Executor repeatedly load dictionary, not hit the cache;
> 3) NDCuboidBuilder and RowkeyEncoder, can optimize for less array copy;
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)